Vicki S. Chambers

2.4k total citations · 2 hit papers
7 papers, 1.7k citations indexed

About

Vicki S. Chambers is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Vicki S. Chambers has authored 7 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Ecology and 0 papers in Infectious Diseases. Recurrent topics in Vicki S. Chambers's work include DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA and protein synthesis mechanisms (4 papers). Vicki S. Chambers is often cited by papers focused on DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA and protein synthesis mechanisms (4 papers). Vicki S. Chambers collaborates with scholars based in United Kingdom, Portugal and Singapore. Vicki S. Chambers's co-authors include Shankar Balasubramanian, Giovanni Marsico, Marco Di Antonio, Jonathan M. Boutell, Geoffrey Smith, Aleksandr B. Sahakyan, Chun Kit Kwok, Patrick McCauley, Tobias Santner and Anh Tuân Phan and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Nature Methods.

In The Last Decade

Vicki S. Chambers

7 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-throughput sequencing of DNA G-quadruplex structures in the human genome

2015 937 citations Vicki S. Chambers, Giovanni Marsico et al. Nature Biotechnology profile →
Whole genome experimental maps of DNA G-quadruplexes in multiple species

2019 275 citations Giovanni Marsico, Vicki S. Chambers et al. Nucleic Acids Research profile →

Peers

Vicki S. Chambers

MB

ECOLO

PS

EEE

OC

Kangkan Halder India

Julien Gros France

V.V. Shick Russia

Stefanie V. Lensing United Kingdom

Daishu Nanbu Japan

Sunny C.Y. Jeng Canada

Shintaro Aibara Sweden

D S Kang United States

Andrea Újvári United States

Cindy L. White United States

Kangkan Halder India

Vicki S. Chambers

1.1k ×0.6

MB

96 ×0.9

ECOLO

61 ×0.7

PS

21 ×0.4

EEE

26 ×0.7

OC

Citations per year, relative to Vicki S. Chambers Vicki S. Chambers (= 1×) peers Kangkan Halder

Countries citing papers authored by Vicki S. Chambers

Since Specialization

Citations

This map shows the geographic impact of Vicki S. Chambers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vicki S. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicki S. Chambers more than expected).

Fields of papers citing papers by Vicki S. Chambers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vicki S. Chambers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vicki S. Chambers. The network helps show where Vicki S. Chambers may publish in the future.

Co-authorship network of co-authors of Vicki S. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of Vicki S. Chambers. A scholar is included among the top collaborators of Vicki S. Chambers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vicki S. Chambers. Vicki S. Chambers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Marsico, Giovanni, Vicki S. Chambers, Aleksandr B. Sahakyan, et al.. (2019). Whole genome experimental maps of DNA G-quadruplexes in multiple species. Nucleic Acids Research. 47(8). 3862–3874. 275 indexed citations breakdown →

2.

Vandana, J. Jeya, Vicki S. Chambers, Marco Di Antonio, et al.. (2018). Structure of a (3+1) hybrid G-quadruplex in the PARP1 promoter. Nucleic Acids Research. 47(3). 1564–1572. 46 indexed citations

3.

Sahakyan, Aleksandr B., Vicki S. Chambers, Giovanni Marsico, et al.. (2017). Machine learning model for sequence-driven DNA G-quadruplex formation. Scientific Reports. 7(1). 14535–14535. 105 indexed citations

4.

Kwok, Chun Kit, Giovanni Marsico, Aleksandr B. Sahakyan, Vicki S. Chambers, & Shankar Balasubramanian. (2016). rG4-seq reveals widespread formation of G-quadruplex structures in the human transcriptome. Nature Methods. 13(10). 841–844. 321 indexed citations

5.

Kwok, Chun Kit, Giovanni Marsico, Aleksandr B. Sahakyan, Vicki S. Chambers, & Shankar Balasubramanian. (2016). Transcriptome-wide profiling of RNA G-quadruplex structures using rG4-seq. Protocol Exchange. 1 indexed citations

6.

Chambers, Vicki S., Giovanni Marsico, Jonathan M. Boutell, et al.. (2015). High-resolution sequencing of DNA G-quadruplex secondary structures in the human genome. Apollo (University of Cambridge). 2 indexed citations

7.

Chambers, Vicki S., Giovanni Marsico, Jonathan M. Boutell, et al.. (2015). High-throughput sequencing of DNA G-quadruplex structures in the human genome. Nature Biotechnology. 33(8). 877–881. 937 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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